Job Description
Country:
India
Location: Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103
Role: Lead Data Engineer
Location: Bangalore
Full Time/Part-time - Full Time
Build a career with confidence:
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do
About the Role
: Experienced Data Science & Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)
Primary responsibilities:
Architect and implement scalable and robust data infrastructure on AWS to support AI and Advanced Analytics use cases
Develop and optimize data pipelines for efficient data processing and integration using AWS services and DataIku
Assist in formulating data governance standards and ensure data quality, integrity, and compliance with security policies
Collaborate with data scientists and MLOps engineers to design, build, and maintain a feature store for rapid AI model development
Implement monitoring systems to track data infrastructure performance and make improvements as needed
Manage and optimize AI CoE data accounts, warehouses, and tables on AWS
Build and maintain data connectors to AI systems
Create templates and best practices for establishing new data connections and formats
Formulate and implement best practices for data storage and access for AI tools
Develop standards around optimization of data transformations
Stay updated with the latest advancements in data engineering, particularly within the AWS ecosystem, and drive the adoption of innovative techniques
Experience and Skills Required:
7+ years of experience in data engineering, with a focus on building and maintaining data infrastructure
Extensive experience with AWS data services such as S3, Redshift, Glue, EMR, and Athena
Proficiency in Dataiku for data integration, preparation, and pipeline management
Strong skills in programming languages such as Python and SQL
Experience with big data technologies and ETL processes
Familiarity with data governance principles and data security best practices in cloud environments
Strong understanding of AI and machine learning concepts and their data requirements
Excellent problem-solving and analytical skills
Ability to work independently and manage multiple priorities in a fast-paced environment
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
Experience with CI/CD practices and DevOps principles
Familiarity with data modeling and database design
Knowledge of data visualization tools and techniques is a plus
Ability to mentor and guide junior data engineers as the team grows
Qualifications:
B.E/B.Tech/MCA/M.Tech qualification
AWS and Dataiku Certified preferred, but not mandatory
Additional Comments:
This individual will be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and have an ability to work on multiple projects and function in a team environment.
Benefits:
We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
Have peace of mind and body with our health insurance
Make yourself a priority with flexible schedules and leave Policy
Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
Our commitment to you:
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best
in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is
The Carrier Way.
Join us and make a difference.
Apply Now..
Carrier is An Equal
Opportunity/Affirmative
Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Job Applicant's Privacy Notice:
Click on this link (https://www.corporate.carrier.com/legal/privacy-notice-job-applicant/)
to read the Job Applicant's Privacy Notice
India
Location: Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103
Role: Lead Data Engineer
Location: Bangalore
Full Time/Part-time - Full Time
Build a career with confidence:
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do
About the Role
: Experienced Data Science & Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)
Primary responsibilities:
Architect and implement scalable and robust data infrastructure on AWS to support AI and Advanced Analytics use cases
Develop and optimize data pipelines for efficient data processing and integration using AWS services and DataIku
Assist in formulating data governance standards and ensure data quality, integrity, and compliance with security policies
Collaborate with data scientists and MLOps engineers to design, build, and maintain a feature store for rapid AI model development
Implement monitoring systems to track data infrastructure performance and make improvements as needed
Manage and optimize AI CoE data accounts, warehouses, and tables on AWS
Build and maintain data connectors to AI systems
Create templates and best practices for establishing new data connections and formats
Formulate and implement best practices for data storage and access for AI tools
Develop standards around optimization of data transformations
Stay updated with the latest advancements in data engineering, particularly within the AWS ecosystem, and drive the adoption of innovative techniques
Experience and Skills Required:
7+ years of experience in data engineering, with a focus on building and maintaining data infrastructure
Extensive experience with AWS data services such as S3, Redshift, Glue, EMR, and Athena
Proficiency in Dataiku for data integration, preparation, and pipeline management
Strong skills in programming languages such as Python and SQL
Experience with big data technologies and ETL processes
Familiarity with data governance principles and data security best practices in cloud environments
Strong understanding of AI and machine learning concepts and their data requirements
Excellent problem-solving and analytical skills
Ability to work independently and manage multiple priorities in a fast-paced environment
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
Experience with CI/CD practices and DevOps principles
Familiarity with data modeling and database design
Knowledge of data visualization tools and techniques is a plus
Ability to mentor and guide junior data engineers as the team grows
Qualifications:
B.E/B.Tech/MCA/M.Tech qualification
AWS and Dataiku Certified preferred, but not mandatory
Additional Comments:
This individual will be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and have an ability to work on multiple projects and function in a team environment.
Benefits:
We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
Have peace of mind and body with our health insurance
Make yourself a priority with flexible schedules and leave Policy
Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
Our commitment to you:
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best
in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is
The Carrier Way.
Join us and make a difference.
Apply Now..
Carrier is An Equal
Opportunity/Affirmative
Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Job Applicant's Privacy Notice:
Click on this link (https://www.corporate.carrier.com/legal/privacy-notice-job-applicant/)
to read the Job Applicant's Privacy Notice
Key skill Required
- SQL
- Python
- AWS
- Advanced Analytics
- Data Analysis
- Data Engineering
- Data Governance
- Data Processing
- Data Security
- Accounts
- CI/CD
- Ability To Work On Multiple Projects
- Advertising
- Analysis
- Analytical Thinking
- Analytics
- Big Data
- Commitment
- Communication
- Compliance
- Creativity
- Data Infrastructure
- Data Integration
- Data Mining
- Data Modeling
- Data Pipelines
- Data Quality
- Data requirements
- Data Science
- Data Services
- Data Storage
- Data Visualization
- Database
- Database Design
- Design
- Development
- Economics
- Ecosystem
- Employee Engagement
- Governance
- Health Insurance
- Infrastructure
- Innovation
- Insurance
- Integration
- Learning
- Machine Learning
- Management
- Marketing
- Mining
- Model Development
- Optimization
- Orientation
- Pipeline
- Pipeline Management
- Professional Development
- Reporting
- Research
- Science
- Scientific Research
- Security
- Supply Chain
- Teamwork
- Visualization
- Work Independently
